When different types of functional genomics data are generated on single cells from different samples of cells from the same heterogeneous population, the clustering of cells in the different samples should be coupled. Stanford University researchers formulate this “coupled clustering” ...
Read More »A non-negative matrix factorization approach for the functional classification of the epigenome
In the last decade, advanced functional genomics approaches and deep sequencing have allowed large-scale mapping of histone modifications and other epigenetic marks, highlighting functional relationships between chromatin organization and genome function. Here, researchers from the Sapienza University of Rome propose ...
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